DocumentCode
488117
Title
Stability Analysis for Learning Systems
Author
Hideg, Laszlo ; Judd, Robert ; Van Til, Robert
Author_Institution
Department of Electrical and Systems Engineering, Oakland University, Rochester, Michigan 48309-4401
fYear
1990
fDate
23-25 May 1990
Firstpage
85
Lastpage
87
Abstract
The error between the desired and actual output of a single input, multiple output plant is used by a learning law to modify the input in order to reduce the output error. Lyapunov stability analysis is used to determine criteria for the learning law coefficients. The plant is assumed to be stable, linear and time invariant. Formulations include restrictions on the desired trajectory and Lyapunov candidate derived from the plant model. Sufficient conditions for stability are found and conjectured to also be necessary.
Keywords
Computer numerical control; Error analysis; Learning systems; Lyapunov method; Manufacturing; Milling machines; Robots; Stability analysis; Sufficient conditions; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1990
Conference_Location
San Diego, CA, USA
Type
conf
Filename
4790704
Link To Document